Skip to main content

recommender XBlock

Project description

This XBlock shows students a list of recommended resources for a given problem. The resources are recommended, edited, and voted by students. For each resource, we show its title, link, short summary, preview screenshot, and votes:

Recommender screenshot

This is an module where students can share useful resources/hints and rate them. This crowdsourcing mechanism allows a scalable solution to fulfill students with varying learning needs.

  • Staff Interface: manage problematic resourse easier, add comments, endorse, de-endorse resource

  • Discussion around each resource

  • Better interface for adding varying types of resource (e.g., specific timestamps in the video or specific elements in a learning sequence)

  • Better user help/documentation

  • Tag/categorize resources around specific misconceptions

In a randomized control trial in a computer science course, this XBlock led to similar learning outcomes in about 10% less time than without it (so efficiency of learning was about 10% better than without the XBlock – students learned the same in less time). Qualitative analysis as well as quantitative analysis of usage data showed it was helpful in contexts where there were complex, multiconcept problems. It was not helpful or used in contexts where there were simple, single-step problems.

In an analysis comparing to other remediation systems within edX, it was more effective for deeper, more complex misconceptions, and less effective for simple errors.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

recommender-xblock-1.4.1.tar.gz (48.0 kB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

recommender_xblock-1.4.1-py3-none-any.whl (80.1 kB view details)

Uploaded Python 3

recommender_xblock-1.4.1-py2-none-any.whl (80.1 kB view details)

Uploaded Python 2

File details

Details for the file recommender-xblock-1.4.1.tar.gz.

File metadata

  • Download URL: recommender-xblock-1.4.1.tar.gz
  • Upload date:
  • Size: 48.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.33.0 CPython/3.6.7

File hashes

Hashes for recommender-xblock-1.4.1.tar.gz
Algorithm Hash digest
SHA256 4f2320f572a2bb0d0942a6a936b3af1fb47529425515f83c4841a7d63f179aff
MD5 6ded2abc873262f20d1f1565d956b1a1
BLAKE2b-256 da30ef84f930412e82b0fffb13cbd74be0d90ba4a8d289a81f17d74c89f39c45

See more details on using hashes here.

File details

Details for the file recommender_xblock-1.4.1-py3-none-any.whl.

File metadata

  • Download URL: recommender_xblock-1.4.1-py3-none-any.whl
  • Upload date:
  • Size: 80.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.33.0 CPython/3.6.7

File hashes

Hashes for recommender_xblock-1.4.1-py3-none-any.whl
Algorithm Hash digest
SHA256 e2eaba565006161e3852bdea98b27d3db107d70667dd6278686b4512ab7cf141
MD5 373b73f9470eb4a4ee614887adaf84ac
BLAKE2b-256 06d8cfbddfac340b7ffc3a95f6bff4aa2a4347e9cc7cfae6ea19f166f068949b

See more details on using hashes here.

File details

Details for the file recommender_xblock-1.4.1-py2-none-any.whl.

File metadata

  • Download URL: recommender_xblock-1.4.1-py2-none-any.whl
  • Upload date:
  • Size: 80.1 kB
  • Tags: Python 2
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.33.0 CPython/2.7.15

File hashes

Hashes for recommender_xblock-1.4.1-py2-none-any.whl
Algorithm Hash digest
SHA256 a6808129d8a3863d7d3f50cf342151f9aabe4cf4d2fcdc1a0f8044fff3b3828f
MD5 0a722ddf937d55724a34ac03c62e5ef8
BLAKE2b-256 5c5b4f57808fd91eb933fd51ea9aabd4057931554d7d21ce772fbf9aac2f403a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page